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Articles 1 - 7 of 7
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La Saisie De Données Situées Dans Le Nuage En Droit Criminel Canadien, Laura Ellyson
La Saisie De Données Situées Dans Le Nuage En Droit Criminel Canadien, Laura Ellyson
Canadian Journal of Law and Technology
L’article 8 de la Charte canadienne des droits et libertés prévoit que « chacun a droit à la protection contre les fouilles, les perquisitions ou les saisies abusives ». Cette disposition a fait couler beaucoup d’encre depuis son adoption, mais aussi plus récemment en raison de son application aux nouvelles technologies. En effet, dans les 20 dernières années, la Cour suprême du Canada a adapté les principes généraux découlant des fouilles, saisies et perquisitions aux réalités informatiques nouvelles, notamment l’ordinateur et le cellulaire. Toutefois, l’émergence de nouvelles technologies est un phénomène qui ne cesse jamais. L’essor de l’infonuagique, ce modèle …
Visualization And Machine Learning Techniques For Nasa’S Em-1 Big Data Problem, Antonio P. Garza Iii, Jose Quinonez, Misael Santana, Nibhrat Lohia
Visualization And Machine Learning Techniques For Nasa’S Em-1 Big Data Problem, Antonio P. Garza Iii, Jose Quinonez, Misael Santana, Nibhrat Lohia
SMU Data Science Review
In this paper, we help NASA solve three Exploration Mission-1 (EM-1) challenges: data storage, computation time, and visualization of complex data. NASA is studying one year of trajectory data to determine available launch opportunities (about 90TBs of data). We improve data storage by introducing a cloud-based solution that provides elasticity and server upgrades. This migration will save $120k in infrastructure costs every four years, and potentially avoid schedule slips. Additionally, it increases computational efficiency by 125%. We further enhance computation via machine learning techniques that use the classic orbital elements to predict valid trajectories. Our machine learning model decreases trajectory …
Machine Learning Pipeline For Exoplanet Classification, George Clayton Sturrock, Brychan Manry, Sohail Rafiqi
Machine Learning Pipeline For Exoplanet Classification, George Clayton Sturrock, Brychan Manry, Sohail Rafiqi
SMU Data Science Review
Planet identification has typically been a tasked performed exclusively by teams of astronomers and astrophysicists using methods and tools accessible only to those with years of academic education and training. NASA’s Exoplanet Exploration program has introduced modern satellites capable of capturing a vast array of data regarding celestial objects of interest to assist with researching these objects. The availability of satellite data has opened up the task of planet identification to individuals capable of writing and interpreting machine learning models. In this study, several classification models and datasets are utilized to assign a probability of an observation being an exoplanet. …
Secure And Efficient Deduplication Scheme Based On Ownership Challenge For Mobile Cloud Environment, Sebastian Annie Joice, M. A. Maluk Mohamed
Secure And Efficient Deduplication Scheme Based On Ownership Challenge For Mobile Cloud Environment, Sebastian Annie Joice, M. A. Maluk Mohamed
Applied Mathematics & Information Sciences
Cloud Computing plays a vital job in providing storage, infrastructure, and processing services. The demand for storing data in cloud is increasing day by day due to the large number of users. To protect the data stored in the cloud, data is often stored in an encrypted form. Cloud storage includes a large amount of duplicated data under different encryption schemes by different users. Existing solutions that deal with encrypted deduplication do not support controlled access, ownership revocation and file modification require uploading the entire file in encrypted form. In this paper, a scheme based on Incremental Proxy Re-Encryption (IPRE) …
A Novel Analysis Of The Performance Of Cloud Computing Centers Using Non-Markovian Queuing Model, D. Chitra Devi, K. Gokulnath, V. Rhymend Uthariaraj
A Novel Analysis Of The Performance Of Cloud Computing Centers Using Non-Markovian Queuing Model, D. Chitra Devi, K. Gokulnath, V. Rhymend Uthariaraj
Applied Mathematics & Information Sciences
A novel mathematical model is presented to analyse the performance of cloud computing centers using non-Markovian queuing model M/G/c/c+r/PR with priority as a queue discipline.Task arrivals are categorized as higher-priority (Hpriority) task queue and low-priority (Lpriority) task queue.This model allows cloud providers to determine the performance metrics of the task queue such as average number of tasks, probability of congestion, and probability of no waiting time with respect to server and buffer size. Two feasible conditions, namely non-preemptive and preemptive task priorities are discussed in this work. This approach is validated using discrete-event simulator and Maplesoft for the above mentioned …
Customer Knowledge Management In The Cloud Ecosytem, Joseph O. Chan
Customer Knowledge Management In The Cloud Ecosytem, Joseph O. Chan
Communications of the IIMA
The evolution of the economy has gone through the agricultural era, followed by the industrial era focusing on the production of goods and the postindustrial era accentuated by information and services. The new economy of the 21stcentury is characterized by knowledge and relationships. Galbreath (2002) described the transition to a new economic order driven by knowledge and based on the value of relationships. Customer knowledge management (CKM) synthesizes the customer knowledge and relationships assets in the extended enterprise to create advantages for companies in a very competitive market. Technologies have changed alongside the economy. Big Data and Cloud …
Big Five Technologies In Aeronautical Engineering Education: Scoping Review, Ruth Martinez-Lopez
Big Five Technologies In Aeronautical Engineering Education: Scoping Review, Ruth Martinez-Lopez
International Journal of Aviation, Aeronautics, and Aerospace
The constant demands that technology creates in aerospace engineering also influence education. The identification of the technologies with practical application in aerospace engineering is of current interest to decision makers in both universities and industry. A social network approach enhances this scoping review of the research literature to identify the main topics using the Big Five technologies in aerospace engineering education. The conceptual structure of the dataset (n=447) was analyzed from different approaches: at macro-level, a comparative of the digital technology identified by cluster analysis with the number of co-words established in 3 and 8 and, a keyword central structure …